Flight Formation Control
O ovoj e-knjizi
This book presents the state of the art in the area of UAV Flight Formation. The coordination and robust consensus approaches are presented in detail as well as formation flight control strategies which are validated in experimental platforms. It aims at helping students and academics alike to better understand what coordination and flight formation control can make possible.
Several novel methods are presented:
- controllability and observability of multi-agent systems;
- robust consensus;
- flight formation control;
- stability of formations over noisy networks;
which generate solutions of guaranteed performance for UAV Flight Formation.
Contents
1. Introduction, J.A. Guerrero.
2. Theoretical Preliminaries, J.A. Guerrero.
3. Multiagent Coordination Strategies, J.A. Guerrero, R. Lozano, M.W. Spong, N. Chopra.
4. Robust Control Design for Multiagent Systems with Parametric Uncertainty, J.A. Guerrero, G. Romero.
5. On Adaptive and Robust Controlled Synchronization of Networked Robotic Systems on Strongly Connected Graphs, Y.-C. Liu, N. Chopra.
6. Modeling and Control of Mini UAV, G. Flores Colunga, J.A. Guerrero, J. Escareño, R. Lozano.
7. Flight Formation Control Strategies for Mini UAVs, J.A. Guerrero.
8. Formation Based on Potential Functions, L. García, A. Dzul.
9. Quadrotor Vision-Based Control, J.E. Gomez-Balderas, J.A. Guerrero, S. SALAZAR, R. Lozano, P. Castillo.
10. Toward Vision-Based Coordination of Quadrotor Platoons, L.R. García Carrillo, J.A. Guerrero, R. Lozano.
11. Optimal Guidance for Rotorcraft Platoon Formation Flying in Wind Fields, J.A. Guerrero, Y. Bestaoui, R. Lozano.
12. Impact of Wireless Medium Access Protocol on the Quadrotor Formation Control, J.A. Guerrero, Y. Challal, P. Castillo.
13. MAC Protocol for Wireless Communications, A. Mendez, M. Panduro, O. Elizarraras, D. Covarrubias.
14. Optimization of a Scannable Pattern for Bidimensional Antenna Arrays to Provide Maximum Performance, A. Reyna, M.A. Panduro, A. Mendez.
O autoru
José Alfredo Guerrero joined the Department of Electronic Engineering at the University Autonomous of Tamaulipas (UAT), Mexico in 2000 where he worked until 2006. His research interests are in the analysis and synthesis of multi-agent coordination control and nonlinear control with applications to Unmanned Aerial Vehicles, Autonomous Underwater Vehicles and robust and optimal control.
Rogelio Lozano, after holding various positions, including visiting positions at the University of Newcastle in Australia, NASA Langley Research Center, VA, and LAG in France, has been the head of the UMI 3175 LAFMIA at CINVESTAV Mexico since April 2008. He has been a CNRS Research Director since 1990 and acted as Associate Editor for Automatica and Int. J. of Adaptive Control and Signal Processing.
